Senior Manager, Post-Purchase Strategy & Analytics

Walmart; Bentonville (AR); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Stock purchase program

Life insurance

Paid time off (PTO)

Education benefits (Live Better U)

Job summary

Walmart is seeking a strategic analytics professional to shape decisions across Marketplace post-purchase. The role sits at the intersection of strategy, analytics, operations, product, and customer experience, translating data into clear senior-leader recommendations.

You will own ambiguous problems, develop hypotheses, run large-scale analyses with SQL, and build business cases to size opportunities and influence product direction. Collaboration across teams is essential.

Qualifications

• Bachelor's degree is required with 5+ years in related roles or 7+ years without a degree.
• Experience interrogating data, testing hypotheses, and translating findings into recommendations.
• Ability to work across Product, Operations, Finance, and Data Science teams.

Responsibilities

• Own ambiguous, high-impact business problems from question to recommendation and execution.
• Develop hypotheses and analytical frameworks for structured analyses.
• Launch new product features and capabilities.
• Use data to uncover trends, root causes, and opportunities; evaluate tradeoffs.
• Write SQL and analyze large datasets independently.
• Build business cases including financial and operational impact.
• Partner with cross-functional teams to drive product and process changes.

Skills

Structured problem-solving

Analytical thinking

SQL proficiency

Data visualization tools

Executive communication

Cross-functional collaboration

Education

Bachelor's degree in a relevant field

Job description

Walmart is seeking a strategic analytics professional to shape decisions across Marketplace post-purchase. The role sits at the intersection of strategy, analytics, operations, product, and customer experience, translating data into clear senior-leader recommendations.

You will own ambiguous problems, develop hypotheses, run large-scale analyses with SQL, and build business cases to size opportunities and influence product direction. Collaboration across teams is essential.